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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Clustering Field-Based Maize Phenotyping of Plant-Height Growth and Canopy Spectral Dynamics Using a UAV Remote-Sensing Approach
Liang Han, Guijun Yang, Hao Yang, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

A Review on UAV-Based Applications for Precision Agriculture
Dimosthenis C. Tsouros, Stamatia Bibi, Panagiotis Sarigiannidis
Information (2019) Vol. 10, Iss. 11, pp. 349-349
Open Access | Times Cited: 854
A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses
Jayme Garcia Arnal Barbedo
Drones (2019) Vol. 3, Iss. 2, pp. 40-40
Open Access | Times Cited: 309
A Systematic Review of IoT Solutions for Smart Farming
Emerson de Moraes Navarro, Nuno Costa, Ántónio Pereira
Sensors (2020) Vol. 20, Iss. 15, pp. 4231-4231
Open Access | Times Cited: 274
Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence
Antoine Harfouche, Daniel Jacobson, David Kainer, et al.
Trends in biotechnology (2019) Vol. 37, Iss. 11, pp. 1217-1235
Open Access | Times Cited: 203
Estimating vertically growing crop above-ground biomass based on UAV remote sensing
Jibo Yue, Hao Yang, Guijun Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107627-107627
Closed Access | Times Cited: 61
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Jian Cheng, Changjian Deng, Yanzhou Su, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 1-34
Closed Access | Times Cited: 26
Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean
Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 2
Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV)
Xiaqing Wang, Ruyang Zhang, Wei Song, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 126
Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives
Abbas Atefi, Yufeng Ge, Santosh Pitla, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 94
Phenotyping of Corn Plants Using Unmanned Aerial Vehicle (UAV) Images
Wei Su, Mingzheng Zhang, Dahong Bian, et al.
Remote Sensing (2019) Vol. 11, Iss. 17, pp. 2021-2021
Open Access | Times Cited: 88
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation
Leonardo Volpato, Francisco Pinto, Lorena González-Pérez, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 87
Assessment of Water and Nitrogen Use Efficiencies Through UAV-Based Multispectral Phenotyping in Winter Wheat
Mengjiao Yang, Muhammad Adeel Hassan, Kaijie Xu, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 74
Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Haiyu Tao, Shan Xu, Yongchao Tian, et al.
Plant Communications (2022) Vol. 3, Iss. 6, pp. 100344-100344
Open Access | Times Cited: 63
Estimating the maize above-ground biomass by constructing the tridimensional concept model based on UAV-based digital and multi-spectral images
Meiyan Shu, Mengyuan Shen, Dong Qizhou, et al.
Field Crops Research (2022) Vol. 282, pp. 108491-108491
Closed Access | Times Cited: 58
Internet of Things Applications in Precision Agriculture: A Review
N. S. Abu, W. M. Bukhari, C. H. Ong, et al.
Journal of Robotics and Control (JRC) (2022) Vol. 3, Iss. 3, pp. 338-347
Open Access | Times Cited: 47
Automated segmentation of individual leafy potato stems after canopy consolidation using YOLOv8x with spatial and spectral features for UAV-based dense crop identification
Hanhui Jiang, Bryan Gilbert Murengami, Liguo Jiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108795-108795
Closed Access | Times Cited: 11
Unmanned aerial vehicle-based assessment of rice leaf chlorophyll content dynamics across genotypes
Qing Gu, Fudeng Huang, Weidong Lou, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108939-108939
Closed Access | Times Cited: 11
Digitalization of agriculture for sustainable crop production: a use-case review
Redmond R. Shamshiri, Barbara Sturm, Cornelia Weltzien, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 9
Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials
Irene Borra‐Serrano, Tom De Swaef, Paul Quataert, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1644-1644
Open Access | Times Cited: 56
UAV-based high-throughput phenotyping to increase prediction and selection accuracy in maize varieties under artificial MSV inoculation
Walter Chivasa, Onisimo Mutanga, Juan Burgueño
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106128-106128
Closed Access | Times Cited: 52
UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds
Minhui Li, Redmond R. Shamshiri, Michael Schirrmann, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 585-585
Open Access | Times Cited: 36
A UAV‐based high‐throughput phenotyping approach to assess time‐series nitrogen responses and identify trait‐associated genetic components in maize
Eric Rodene, Gen Xu, Semra Palali Delen, et al.
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Closed Access | Times Cited: 34
Opportunities and challenges in phenotyping row crops using drone‐based RGB imaging
Dorothy D. Sweet, Sara B. Tirado, Nathan M. Springer, et al.
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 34
Phenotypic Traits Estimation and Preliminary Yield Assessment in Different Phenophases of Wheat Breeding Experiment Based on UAV Multispectral Images
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 1019-1019
Open Access | Times Cited: 29
Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants
Caiming Gou, Sara Zafar, Zuhair Hasnain, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 1, pp. 20-20
Open Access | Times Cited: 7
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